Comparison of 0–72 hour prediction curve.

<div><p>Wind power forecasting has complex nonlinear features and behavioral patterns across time scales, which is a severe test for traditional forecasting techniques. To address the multi-scale problem in wind power forecasting, this paper innovatively proposes an ultra-short-term fore...

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Bibliographic Details
Main Author:	Dongjin Ma (19949668) (author)
Other Authors:	Yingcai Gao (19949671) (author), Qin Dai (177488) (author)
Published:	2024
Subjects:	Genetics Biotechnology Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified traditional forecasting techniques rank approximation method paper innovatively proposes overall operational efficiency complex nonlinear features bounded dimensional space wind power system wind power forecasting wind power enterprises scale mixing mechanism improved transformer model term prediction scenario existing prediction methods experimental results show devlin normalization method power grid scale problem model realizes prediction accuracy stable operation severe test research results original data obvious advantages multilayer perceptron internet access input sequences important information historical data firstly focuses feature selection decoder architecture data sequence also help
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Comparison of 0–72 hour prediction curve.

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